At the recent ISC.AI 2026 summit, Ye Jian, the Chief Operating Officer of 360 Technology Group Co., Ltd. (referred to as "360"), stated that as AI evolves from an auxiliary tool into a "digital employee" driving business processes, the fundamental efficiency model of enterprises is being rewritten.
Ye Jian discussed the goal of achieving "super individuals, super organizations, and super security." In his view, even if a company possesses several super individuals, the overall efficiency cannot be unleashed if they cannot collaborate effectively. The concept of a "super organization" is precisely about breaking down these barriers to achieve a tenfold or even hundredfold increase in organizational efficiency. He cited the example of Anthropic, which, with a workforce of several thousand, achieves an annual revenue nearing one hundred billion, with per capita output value in the tens of millions—a scenario unimaginable in traditional organizations. The underlying logic is a shift in organizational paradigm: the past was "AI+," where humans used AI as a tool; in a super organization, AI becomes an "employee," forming an organizational architecture centered on intelligent agents. Humans are responsible for management, coordination, and providing a safety net, while production processes are driven by these agents. "A true super organization is one centered on intelligent agents, with those agents driving the business processes," he emphasized.
Transitioning towards a super organization necessitates rebuilding the underlying infrastructure. Ye Jian believes at least three foundational pillars are required. The first is an "Agent Factory," enabling business personnel without technical expertise to generate various intelligent agents through conversational interfaces. The second is an "AI Knowledge Hub," allowing agents to comprehend multimodal data, understand the complete chain from data to knowledge to decision-making, and internalize the company's context and processes. The third is "Agent Teams," which manage both the division of labor and collaboration among agents and the collaboration between humans and machines. Traditional business systems need to be service-encapsulated and integrated into the AI infrastructure, while culturally, there must be genuine acceptance of intelligent agents as core productive forces.
Comments